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This study aims to contribute to the ongoing discussion of how consumers approach shopping directly via social media by explicating decisions related to trust on social media and how various types of electronic word of mouth (eWOM; ratings and reviews, recommendations and referrals and social media communities) contribute to these decisions.

A total of 198 respondents with experience shopping directly via social media were instructed to select the platform on which they had the most shopping experience (Facebook, Instagram, TikTok, Pinterest, etc.) to answer relevant survey questions. Structural equation modeling (SEM) was used for analyzing the results.

Findings reveal that eWOM provided by strong ties (recommendations and referrals; social media communities) is superior to weak ties (ratings and reviews). Surprisingly, ratings and reviews do not significantly relate to trust in the retailer, suggesting that this information may be necessary but not sufficient for trusting retailers on social media.

This research distinguishes trust decisions related to shopping on social media and clarifies how each type of eWOM uniquely influences trust in the retailer by using tie strength theory.

Artificial intelligence (AI) has a large number of applications at the industry and user levels. However, AI's uniqueness neglect is becoming an obstacle in the further application of AI. Based on the theory of innovation resistance, this paper aims to explore the effect of AI's uniqueness neglect on consumer resistance to AI.

The authors tested four hypothesis across four studies by conducting lab experiments. Study 1 used a questionnaire to verify the hypothesis that AI's uniqueness neglect leads to consumer resistance to AI; Studies 2 focused on the role of human–AI interaction trust as an underlying driver of resistance to medical AI. Study 3–4 provided process evidence by way of a measured moderator, testing whether participants with a greater sense of non-verbal human–AI communication are more reluctant to have consumer resistance to AI.

The authors found that AI's uniqueness neglect increased users' resistance to AI. This occurs because the uniqueness neglect of AI hinders the formation of interaction trust between users and AI. The study also found that increasing the gaze behavior of AI and increasing the physical distance in the interaction can alleviate the effect of AI's uniqueness neglect on consumer resistance to AI.

This paper explored the effect of AI's uniqueness neglect on consumer resistance to AI and uncovered human–AI interaction trust as a mediator for this effect and gaze behavior and physical distance as moderators for this effect.

The purpose of this study is to understand the psychological mechanism that affects consumer trust by focusing on the formation and influence process of psychological contracts, and taking this opportunity, explore the influence paths of food quality, food safety and service quality on consumer trust in the online food market, and provide theoretical suggestions for building trust in food businesses' consumers.

This study is based on an empirical investigation and uses partial least square structural equation modeling for analysis. Survey data were collected online from 359 APP users of online food transaction platforms in China.

Food quality, food safety and service quality influence consumer trust through the mediating effects of relational and transactional psychological contracts. However, the differences between these influencing paths are obvious and shift with changes in the marketing channels.

This study contributes to the body of consumer trust research by exploring online food transactions as an emerging trend in China. Some optimization strategies for food quality, food safety and service quality are provided for enterprises involved in online food transactions.

This is a pioneering study revealing psychological contracts as a missing but significant mediator between consumer trust and its antecedents.

This study aims to testify the effects of green marketing on peer-to-peer (P2P) accommodation consumers’ repurchase intention and positive word-of-mouth (WOM) towards P2P accommodation platforms through the mediation of trust and consumer identification.

A questionnaire survey was applied to collect data from a sample of 488 consumers in China who had used P2P accommodation platforms in the past six months. Partial least squares structural equation modelling was used to analyse the data.

The study found that consumers’ perception of green marketing orientation of P2P accommodation platforms significantly increased consumer trust in the platform and consumer identification with the platform, which in turn each positively influenced repurchase intention and positive WOM to the platform. Furthermore, consumer trust had a positive effect on consumer identification and both trust and identification mediated the relationship between green marketing and repurchase intention and that between green marketing and positive WOM.

The findings of this study provide P2P accommodation platform operators with important insights to apply green marketing and focus on consumer trust and identification in sustaining their business and coping with the intense market competition.

This study contributes to better understanding of the impact of green business practices on consumers in sharing economy and offers practical implications on sustainable P2P accommodation practices.

Drawing on the stimulus-organism-response (SOR) model, this study examines how live-streaming shopping influences purchase intentions in young consumers. The multigroup analysis is applied to understand the similarities and differences of factors that trigger purchase intentions among buyers and non-buyers in live-streaming shopping.

A snowball sampling was used to collect data from 507 Chinese consumers between June and September 2022 using Wenjuanxing, i.e., an online survey platform in China. The data was analyzed using the partial least squares method of structural equation modeling.

The findings revealed that amongst the three relational bonds, social and structural bonds were positively associated with trust, whereas financial bonds had no significant relationship with trust. This implies that while price discount might not have any significant relationship with trust, the social interactions that college students have with the live-streamers and their products build trust, which in turn translates to purchasing decisions. Comparing buyers and non-buyers, the results support that buyers have a higher level of trust in live-streaming shopping than non-buyers. This is indicative of the authentic and immersive experiences enjoyed by consumers in live streaming that generate structural bonds and foster stronger connections (relational bonds), thereby establishing trust.

This study is one of the first empirical studies targeting college students as participants in live streaming. These findings are expected to provide actionable insights to streamers especially in converting non-buyers to buyers in live-streaming broadcast.

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.

The purpose of this study is to develop a conceptual model to examine the effect of word-of-mouth in the retailing of Chinese consumer electronics in the US. This study aims to show that word-of-mouth affects directly or indirectly consumer trust-loyalty link for Chinese consumer electronics.

A research framework was designed to test the direct and indirect relationships with structural equation modelling regarding how word-of-mouth affects consumer trust and loyalty for Chinese consumer electronics in the US consumers.

The results indicate that word-of-mouth increases consumer trust directly whereas decreases consumer trust through two types of consciousness (i.e. health and price consciousness), resulting in loyalty. The results also show that ethnocentrism moderates the effect of word-of-mouth. For those with low ethnocentrism, the effect of word-of-mouth on trust exists only in the direct route.

The result suggests that retail managers need to carefully consider the positive and negative influences of word-of-mouth to build consumer trust and loyalty when promoting Chinese consumer electronics. Further cross-cultural research should be explored to generalize the moderating influence of ethnocentrism on the relationship between word-of-mouth and trust-loyalty link.

This study contributes to a better and wider understanding of consumer loyalty regarding Chinese consumer electronics by investigating the effect of word-of-mouth and the differential mediating role of multidimensional consumer consciousness with ethnocentrism.

This study aims to reveal the implications that trust, as a key driver of consumer behaviour, might have on consumer acceptance of front-of-pack labels (FOPLs) and policy effectiveness. By conducting three studies on 1956 European consumers with different levels of exposure to FOPLs, this study offers additional theoretical and experimental support through a deep investigation of the central role of trust in consumers’ decision-making towards healthier and more informed food choices.

Study 1 used structural equation modelling to assess whether trust is a relevant mediator of the relationship between attitude and behavioural intention (BI), thus upgrading the front-of-pack acceptance model (FOPAM); Study 2 tested the model by comparing two labels at the extremes of the current European scheme (NutrInform Battery [NiB], Nutri-Score [NS]); Study 3 assessed the effect in cases where the connection between trust and algorithms is made transparent and evaluated trust dimensions, focusing on the perception of an algorithm presence behind FOPLs information.

Study 1 strengthens the FOPAM model with the mediating role of trust in FOPLs, demonstrating a positive effect of attitude on trust and, in turn, on BI, and resulting in a higher model fit with all the significant relationships; Study 2 revealed that the relative performance of the different labels on the FOPAM can be explained by the trust dimension; Study 3, investigating the dynamics of trust in the FOPAM, revealed that the NS is less effective than the NiB on attitude, BI and trust.

The sample was limited to Italian, French and English respondents, and two labels at the extreme of the spectrum were examined. Furthermore, the research has relevance to the issue of trust. Other moderators used in previous studies on technology acceptance model, such as actual use versus perceptual use, user experience level or type of users and type of use might be investigated.

The investigation of trust, with the upgrade of FOPAM, enhances understanding of consumers’ decision-making processes when aided by food labels and makes a new contribution to the European Union “Inception Impact Assessment” in preparation for the finalization of the “From-Farm-to-Fork Strategy”, providing new insights into the role of trust by assessing the relative performance of FOPLs in consumers’ acceptance of food-related information. Furthermore, this study revealed that consumers’ perception of FOPLs worsens when they realize that they are the result of an algorithmic calculation. Finally, the new FOPAM represents a reliable theoretical model for future research on FOPL.

This study increases the knowledge about the performance of different FOPLs on several dimensions of food decision-making, positions the upgraded FOPAM as a valid alternative to existing theoretical models to assess the relative performance of labels, also extending the literature in the context of algorithm-based FOPL, and could be used as a valid support to policymakers and industry experts in their decision towards a unified label at European level.

This study aims to examine the impact of customer brand value dimensions on relationship marketing dimensions through consumer hope in the context of digital payment applications (apps) services. The study considers the role of consumer engagement using a moderated mediation, and applies customer perceived value, affect theory of social exchange and relationship marketing theories.

The study is based on data collected from 301 digital payment app users. Structural equation modeling results were analyzed using Smart PLS. The authors performed moderated mediation, with different levels of customer engagement as a moderating variable, using Model 8 of PROCESS. The authors considered customer perceived value dimensions, digital quality value, perceived value, hedonic value and social value as antecedents to consumer hope and explored the role of trust, commitment and continued usage as a consequence of consumer hope.

Three levels of perceived consumer value, digital quality, price value and social value, positively influenced consumer hope, which has positively influenced trust, commitment and continuance usage. Using moderated mediation analysis, consumer hope influenced continuance usage through trust at different levels of engagement, but consumer hope did not influence continuance usage through commitment at different levels of engagement.

The study highlights the role of consumer hope in linking customer value dimensions with relationship marketing dimensions. The study can guide managers to ensure continued usage of digital payment apps, which is a strategic objective. The results are relevant for the digital setting.

The aim of the current study is to investigate the effect of consumers' brand trust in family businesses and the impact of crisis management practices on customer purchase intention during the period of Covid-19.

This is a primary quantitative research on a sample of 817 consumers who bought products from 20 food and beverage family companies. Simple random sampling was used to collect the primary data. Data collection was made with the use of questionnaires. The questionnaires were developed based on previous studies and were tested in terms of reliability and validity.

The research findings indicate, among others, that there is a positive significant relationship between brand trust and purchase intention. As a result, the higher the trust of the consumers in a family business brand name, the higher their intention to make purchases. Additionally, it was found that the higher the performance of family businesses on crisis management practices, the more the consumers intent to make purchases.

Nonetheless, there are some limitations in the current research. First, the research sample consists of companies and consumers from a specific location, which can create issues regarding the generalization of the findings. Thus, to ensure improved research implications, a future research should include sample units from different locations and countries in order to reinforce the research findings and enable comparisons and more easily generalized outcomes. Moreover, a future research could assess additional factors that potentially affect purchase intention within a family business environment. Factors such as human resources and the relationship between customers and companies as well as communication and promotional efforts will allow the creation of a more stable and holistic framework and the prediction of consumer behavior. This potential follow-up research will further contribute to the theoretical argumentation of the findings and highlight the connection among purchase intention, trust and crisis managements practices within the family business environment.

Regarding the managerial and practical implications, the research outcomes can lead to specific strategies related to brand trust and crisis management practices. Specifically, family companies should invest on their brand name and their relationship with the consumers by reinforcing any action which can potentially affect the trust of the consumers. This could be realized by providing a safe purchase environment according to health and safety standards and through their response strategy and adaptability to the current pandemic conditions through the use of crisis management practices. Finally, a practical response to social and physical distancing measures would increase brand trust, and the performance on crisis management practices could also lead to sufficient financial outcomes since all these factors positively affect consumers' purchase intention.

The outbreak of the pandemic directly affected the profitability but also the viability of companies, regardless of industry. In particular, the impact that the pandemic had on family businesses, financially, organizationally and operationally, was massive and in many cases, catastrophic. Several studies have focused on family businesses, analyzing their structure, advantages and disadvantages. However, in these studies, there is little focus on the brand's influence on consumer behavior and market intention, especially compared to nonfamily businesses and under unique circumstances such as those of a pandemic.